Thousands of new business intelligence initiatives are started every single day. To ensure success, we need to stop treating them as IT projects and start treating them as strategic endeavors.

Software companies know the data their customers produce is valuable, but aren't always sure of how to leverage it. Here are 5 ways embedded analytics can bring data science to your customers.

In this video, we take a real-life Marketing sample and show how DundasScript can be used to apply a few calculations to extend the dashboard to discover deeper insights.

What's important to take from this, is that formulas are a great way to contextualize data. They provide us with a way to quickly augment what we've got on top of our closed systems.

Business intelligence helps to create a better and more thorough understanding of what is happening now. Here are four reasons why you should give a modern BI tool a try.

Whether you’re looking to embed real-time analytics within an existing product, or are looking to re-invent your current internal reporting structure with modern analytics, ask these 5 questions.

Reacting to events as they occur helps businesses to make tactical decisions immediately and prevent any problems that may arise due to inadvertent delays. It's time you embrace real-time analytics.

There is a wide range of different ways that organizations like yours can leverage predictive analytics in your business intelligence solutions. Let's explore them in this blog.

How can you operationalize your machine learning model and apply it to new data coming through your applications like all other data analyzed through your business intelligence system?

For analytics projects to transform the way people manage their decisions, speed is often a necessity. This blog focuses on Dundas BI's in-memory engine and the role it plays in optimizing performance

To help sales teams improve their performance, we’ve highlighted the top 4 ways business intelligence can supercharge sales strategies.

As with all projects, Business Intelligence exists to achieve one of three objectives: Increase Revenue, Decrease Risk, and Decrease Costs. It's no longer a nice-to-have, it's a must-have.

In order to implement a successful BI project, the key decision-makers need to focus first on ‘why’ the business is embarking on this project, and then on the business processes and behaviors of the users of the BI solution.